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Currently Available Large Language Models Do Not Provide Musculoskeletal Treatment Recommendations That Are Concordant With Evidence-Based Clinical Practice Guidelines

2024·31 Zitationen·Arthroscopy The Journal of Arthroscopic and Related Surgery
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31

Zitationen

7

Autoren

2024

Jahr

Abstract

Although leading LLMs generally provide recommendations concordant with CPGs, a substantial error rate exists, and the proportion of recommendations that do not align with these CPGs suggests that LLMs are not trustworthy clinical support tools at this time. Each off-the-shelf, closed-source LLM has strengths and weaknesses. Future research should evaluate and compare multiple LLMs to avoid bias associated with narrow evaluation of few models as observed in the current literature.

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Themen

Artificial Intelligence in Healthcare and EducationClinical practice guidelines implementationMeta-analysis and systematic reviews
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